Dynamic Opacity Optimization for Scatter Plots


Scatterplots are an effective and commonly used technique to show the relationship between two variables. However, as the number of data points increases, the chart suffers from “over-plotting” which obscures data points and makes the underlying distribution of the data difficult to discern. Reducing the opacity of the data points is an effective way to address over-plotting, however, setting the individual point opacity is a manual task performed by the chart designer. We present a user-driven model of opacity scaling for scatter plots. We built our model based on crowd-sourced responses to opacity scaling tasks using several synthetic data distributions, and then test our model on a collection of real-world data sets.

Download publication

Related Resources

See what’s new.



The Role of Visualization in the Naturalization of Remote Software Immigrants

Software development is commonly becoming a globally distributed task,…



Using General Modeling Conventions for the Shared Development of Building Performance Simulation Software

The building performance simulation community applies theory from…



Real-Time Occupancy Detection using Decision Trees with Multiple Sensor Types

The ability to accurately determine localized building occupancy in…



Collision Anthology: Science-Fiction-Informed Innovation

This project leverages science fiction as a medium to imagine…

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Contact us